Inside the mind
of speculation.
PERCEPTION
Every decision
begins with
a signal.
Before a trade comes an interpretation: a price move, a headline, a message from someone we trust.
We ask which signals people notice in speculative markets, how they read them, and what they leave out.
ATTENTION
Attention comes
before choice.
When a stock suddenly trades far above its usual volume, individual investors turn into net buyers. At one large US discount broker, clients were net sellers of the quietest stocks and net buyers of the busiest.
Buying means choosing from thousands of options; selling, only from what one already owns. What catches the eye gets bought.
Barber, B. M. & Odean, T. (2008). All That Glitters. Review of Financial Studies, 21(2), 785–818.Barber & Odean (2008), Rev. Financ. Stud. 21(2). doi:10.1093/rfs/hhm079
Scope: US equities, 1991–1996, three brokerage datasets. Not crypto markets.
| Decile | Imbalance |
|---|---|
| 1 | -18.15% |
| 2 | -8.90% |
| 3 | -6.23% |
| 4 | -2.76% |
| 5 | -0.76% |
| 6 | +1.65% |
| 7 | +5.45% |
| 8 | +9.20% |
| 9 | +13.62% |
| 10a | +17.72% |
| 10b | +29.50% |
COLLECTIVE BEHAVIOR
Individual minds.
Collective motion.
On-chain markets move through shared stories, visible rankings and rapidly changing expectations.
We ask how individual choices add up to collective conviction, and how much of the outcome is quality and how much is momentum.
REWARD & UNCERTAINTY
The space
before a choice.
Anticipation, hesitation, and an outcome that has not happened yet.
We ask how expectation and uncertainty shape trading decisions. We do not measure brain activity and make no claims about it.
PREDICTION ERROR
The signal is
the surprise.
In classic recordings from monkeys, dopamine neurons fired for an unexpected reward, stopped reacting once the reward was predicted, and dipped below baseline when a predicted reward failed to arrive.
The response follows the gap between expectation and outcome, not the reward itself.
Schultz, W., Dayan, P. & Montague, P. R. (1997). A Neural Substrate of Prediction and Reward. Science, 275, 1593–1599.Schultz et al. (1997), Science 275. doi:10.1126/science.275.5306.1593
Scope: single-neuron recordings in monkeys. Not a study of people or markets.
ABOUT THE PROJECT
Markets move.
Minds react.
Solimbic is an independent, early-stage research project. It starts from established findings in behavioral finance and neuroscience and asks how far they hold in speculative, on-chain markets.
It is not a clinical study, a medical product or an academic institution, and nothing here is investment advice. Sources and methods
OVERCONFIDENCE
More trading,
less return.
Across 66,465 US households, those who traded most earned 11.4% a year after costs, while the market returned 17.9%. Before costs, frequent and infrequent traders performed about the same.
The gap came from trading itself: commissions and spreads on every move.
Barber, B. M. & Odean, T. (2000). Trading Is Hazardous to Your Wealth. Journal of Finance, 55(2), 773–806.Barber & Odean (2000), J. Finance 55(2). doi:10.1111/0022-1082.00226
Scope: one US discount broker, 1991–1996; trading costs were far higher than today.
| Group | Return |
|---|---|
| Households that trade least | 18.5% |
| Market index | 17.9% |
| Households that trade most | 11.4% |
SOLIMBIC · $PSYKE
The experiment
starts here.
$PSYKE is the project’s experimental token on Solana. It carries no promised returns, medical benefits or future utility.
View on Pump.fun ↗Token address and official link not yet published.
SOCIAL INFLUENCE
Seeing others
changes what wins.
14,341 people chose among 48 songs by unknown bands. When they could see what others had downloaded, success became far more unequal than when everyone chose alone, and more so when songs were ranked by popularity.
Across eight parallel worlds that started from identical conditions, the same songs reached different levels of success.
Salganik, M. J., Dodds, P. S. & Watts, D. J. (2006). Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market. Science, 311, 854–856.Salganik et al. (2006), Science 311. doi:10.1126/science.1121066
Scope: online experiment, mostly teenage participants, music downloads.